Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status
Background Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve glio...
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| Published in: | BMC medical informatics and decision making Vol. 20; no. 1; pp. 149 - 14 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
06.07.2020
BioMed Central Ltd Springer Nature B.V BMC |
| Subjects: | |
| ISSN: | 1472-6947, 1472-6947 |
| Online Access: | Get full text |
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